K-Means

Higher-level K-Means functions.

kmeans_in_rounds(
    values_of_points::AbstractMatrix{<:AbstractFloat},
    k::Integer;
    centers::Maybe{AbstractMatrix{<:AbstractFloat}} = ```nothing```,
    rounds::Integer = ```10```,
    rng::AbstractRNG = default_rng(),
)::KmeansResult

Run kmeans multiple times with different random seeds (using rng ) and return the best results. This is needed because K-Means is a heuristic and tends to occasionally get stuck in a local minimum.